Senior Engineering Manager (Data)

About the role

We’re looking for Senior Engineering Manager to lead our Data / AI Platform and MLOps teams at slice.

In this role, you’ll be responsible for building and scaling a high-performing team that powers data infrastructure, real-time streaming, ML enablement, and data accessibility across the company. You'll partner closely with ML, product, platform, and analytics stakeholders to build robust systems that deliver high-quality, reliable data at scale. You will drive AI initiatives to centrally build AP platform and apps which can be leveraged by various functions like legal, CX, product in a secured manner

This is a hands-on leadership role perfect for someone who enjoys solving deep technical problems while growing people and teams.

What You Will Do

• Lead and grow the data platform pod focused on all aspects of data (batch + real-time processing, ML platform, AI tooling, Business reporting, Data products – enabling product experience through data)
• Maintain hands-on technical leadership - lead by example through code reviews, architecture decisions, and direct technical contribution
• Partner closely with product and business stakeholders to identify data-driven opportunities and translate business requirements into scalable data solutions
• Own the technical roadmap for our data platform including infra modernization, performance, scalability, and cost efficiency
• Drive the development of internal data products like self-serve data access, centralized query layers, and feature stores
• Build and scale ML infrastructure with MLOps best practices including automated pipelines, model monitoring, and real-time inference systems
• Lead AI platform development for hosting LLMs, building secure AI applications, and enabling self-service AI capabilities across the organization
• Implement enterprise AI governance including model security, access controls, and compliance frameworks for internal AI applications
• Collaborate with engineering leaders across backend, ML, and security to align on long-term data architecture
• Establish and enforce best practices around data governance, access controls, and data quality
• Ensure regulatory compliance with GDPR, PCI-DSS, SOX through automated compliance monitoring and secure data pipelines
• Implement real-time data processing for fraud detection and risk management with end-to-end encryption and audit trails
• Coach engineers and team leads through regular 1:1s, feedback, and performance conversations

What You Will Need

• 10+ years of engineering experience, including 2+ years managing data or infra teams with proven hands-on technical leadership
• Strong stakeholder management skills with experience translating business requirements into data solutions and identifying product enhancement opportunities
• Strong technical background in data platforms, cloud infrastructure (preferably AWS), and distributed systems
• Experience with tools like Apache Spark, Flink, EMR, Airflow, Trino/Presto, Kafka, and Kubeflow/Ray plus modern stack: dbt, Databricks, Snowflake, Terraform
• Hands on experience building AI/ML platforms including MLOps tools and experience with LLM hosting, model serving, and secure AI application development
• Proven experience improving performance, cost, and observability in large-scale data systems
• Expert-level cloud platform knowledge with container orchestration (Kubernetes, Docker) and Infrastructure-as-Code
• Experience with real-time streaming architectures (Kafka, Redpanda, Kinesis)
• Understanding of AI/ML frameworks (TensorFlow, PyTorch), LLM hosting platforms, and secure AI application development patterns
• Comfort working in fast-paced, product-led environments with ability to balance innovation and regulatory constraints
• Bonus: Experience with data security and compliance (PII/PCI handling), LLM infrastructure, and fintech regulations

Life at slice

Life so good, you’d think we’re kidding:

• Competitive salaries. Period.
• An extensive medical insurance that looks out for our employees & their dependents. We’ll love you and take care of you, our promise.
• Flexible working hours. Just don’t call us at 3AM, we like our sleep schedule.
• Tailored vacation & leave policies so that you enjoy every important moment in your life.
• A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here.
• Learning and upskilling opportunities. Seriously, not kidding.
• Good food, games, and a cool office to make you feel like home. An environment so good, you’ll forget the term “colleagues can’t be your friends”.